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@ -120,7 +120,7 @@ The key takeaways from this example are:
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- The number of parallel tasks can be static or dynamic
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- The number of parallel tasks can be static or dynamic
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- The workflow itself is capable of aggregating the results of parallel executions
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- The workflow itself is capable of aggregating the results of parallel executions
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While not shown in the example, it's possible to go further and limit the degree of concurrency using simple, language-specific constructs. Furthermore, the execution of the workflow is durable. If a workflow starts 100 parallel task executions and only40 complete before the process crashes, the workflow will restart itself automatically and schedule only the remaining 60 tasks.
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While not shown in the example, it's possible to go further and limit the degree of concurrency using simple, language-specific constructs. Furthermore, the execution of the workflow is durable. If a workflow starts 100 parallel task executions and only 40 complete before the process crashes, the workflow restarts itself automatically and only schedules the remaining 60 tasks.
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## Async HTTP APIs
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## Async HTTP APIs
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